Blinowska A, Chatellier G, Wojtasik A, Bernier J
INSERM, Service d'Informatique M'edicale, Paris, France.
IEEE Trans Biomed Eng. 1993 Mar;40(3):230-6. doi: 10.1109/10.216406.
"Diagnostica" is a Bayesian statistical tool designed to collect and store the patient's data, suggest a diagnosis, and explain the decision in terms of density distributions. The program is written in C language on MacIntosh support. It is described using the case study of differential diagnosis between essential and secondary hypertensions (i.e., fibrodysplastic renal artery stenosis, atheromatous renal artery stenosis, Conn's syndrome, nephropathy and pheochromocytoma). Seventeen experimental parameters were taken into consideration, all of them available during the first medical examination. The density distributions of all items were established from the ARTEMIS experimental database. Both a priori probabilities of different types of hypertension and loss coefficients are taken into account in the calculations. Diagnostica can be used in a "make diagnosis" mode or in an "edition" mode. In the first case it can serve a physician in everyday practice; in the second it becomes a tool for medical research.
“诊断器”是一种贝叶斯统计工具,旨在收集和存储患者数据,提出诊断建议,并根据密度分布解释诊断决策。该程序用C语言编写,支持MacIntosh系统。文中通过原发性高血压与继发性高血压(即纤维发育不良性肾动脉狭窄、动脉粥样硬化性肾动脉狭窄、康恩综合征、肾病和嗜铬细胞瘤)鉴别诊断的案例研究对其进行了描述。研究考虑了17个实验参数,所有这些参数均可在首次体检时获得。所有项目的密度分布均根据阿尔忒弥斯实验数据库确定。计算过程中考虑了不同类型高血压的先验概率和损失系数。“诊断器”可以在“进行诊断”模式或“编辑”模式下使用。在第一种情况下,它可在日常医疗实践中为医生提供帮助;在第二种情况下,它成为医学研究的工具。